48. NumPy Array in Python with Code || Multi-Dimensional NumPy Arrays Python Programming Tutorial
NumPy is a python package used for numerical and scientific computing. It provides better runtime and space complexity. NumPy arrays are faster and more compact than Python lists. An array consumes less memory and is convenient to use. NumPy uses much less memory to store data and it provides a mechanism of specifying the data types.
It provides a wide variety of array operations. If you wish to perform general-purpose operations, use python lists.
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Code:
import numpy as np
x=np.arange(2,6).reshape(4)
print(x)
x2=np.arange(2,10).reshape(2,4)
print(x2)
x3=np.arange(24).reshape(4,3,2)
print(x3)
mylist=[1,2,3,4]
numpyArrayFromList=np.array(mylist)
print(numpyArrayFromList)
myList2=np.array(range(1,5))
print(myList2)
a=np.array([1,2,3])
print(type(a))
myMatrix=[[1,2,3],[4,5,6],[7,8,9]]
print(myMatrix)